Lead Databricks Analyst

2 days ago


Delhi, India Rialtes Full time

Location: Remote Employment Type: Full-Time Overview Rialtes is seeking a Databricks Support Analyst to manage platform operations, ensure reliability of clusters and jobs, and support development of data workflows. Role requires hands-on experience with Databricks administration, SQL-based development, and basic Python. Key Responsibilities Primary: Platform Support - Monitor and maintain Databricks clusters, jobs, workflows, and schedules. - Troubleshoot issues related to compute resources, job failures, data ingestion completeness, schema changes, and data accuracy. - Manage user provisioning, access controls, workspace permissions, and catalogs using Unity Catalog aligned with governance standards. - Ensure cost-optimized cluster usage and enforce security, tagging, and compliance policies. - Collaborate with Cloud Ops, Data Engineering, and InfoSec teams to resolve platform-wide incidents. Secondary: Design & Development - Assist in building Databricks workflows for ETL, analytics, and machine learning pipelines. - Support development and optimization of notebooks and scripts—primarily SQL, with some Python for transformations and validations. - Implement best practices for job cluster configuration, Photon acceleration, Delta Lake, and Unity Catalog integration. - Participate in unit testing, functional testing, UAT cycles, and production migration of Databricks jobs. - Contribute to documentation including runbooks, SOPs, job catalogs, and data lineage. Qualifications - 5 years of experience in Databricks, data engineering support, or cloud platform operations. - Strong SQL skills; working knowledge of Python preferred. - Hands-on experience with Databricks clusters, job orchestration, Delta Lake, and Unity Catalog. - Understanding of ETL workflows, CI/CD for data pipelines, and cloud environments (AWS/Azure/GCP). - Strong debugging skills for job failures, performance bottlenecks, and ingestion issues. - Ability to work in fast-paced environments with cross-functional teams. Nice-to-Have - Databricks Certified Associate or equivalent. - Exposure to MLflow, Data Quality (DQ) frameworks, or Databricks Workflows orchestration. - Experience with Git, DevOps tools, or monitoring solutions (CloudWatch, Azure Monitor, etc.).



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